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The Analytics Power Hour

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The Analytics Power Hour

Michael Helbling, Tim Wilson, and Moe Kiss

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Attend any conference for any topic and you will hear people saying after that the best and most informative discussions happened in the bar after the show.Ready any business magazine and you will find an article saying something along the lines of “Business Analytics is the hottest job category out there, and there is a significant lack of people, process and best practice.”In this case the conference was eMetrics, the bar was….multiple, and the attendees were Michael Helbling, Tim Wilson a ...
 
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show series
 
One of our KPIs for the show is to keep the Topic Repeat Rate (TRR) below 1.2%. From carefully monitoring our show dashboard, we had an actionable insight: we could finally revisit episode #002. Conveniently, the topic of that show was dashboards, which explains the self-referential stemwinder of a description of this episode. That show was “a long…
 
What is a system without empathy? What is a show summary without an attempt to overly distill the discussion to the point of sounding like nonsense? On this episode, Hilary Parker (who you may know from the Not So Standard Deviations podcast or elsewhere) joined us to discuss what we can learn from the design process (as in: actual designers) when …
 
Stop for a minute and think about the highest stakes campaign or test you’ve ever run. Were you nervous? Now, instead, imagine that you’re on an aircraft carrier with a few thousand people on board whose safety you are responsible for, and your team is about to watch 40,000 tons of ordnance detonate (in an environmentally friendly way) right next t…
 
As analysts, it can be easy to get so focused on the data that we lose sight of the imperative that we answer meaningful questions (aka: validating relevant hypotheses). On this episode, we sat down with Wil Reynolds, co-founder and accidental lead generator for SEER Interactive, for a discussion that turned out to be about curiosity and the power …
 
Have you ever worked in a large organization where the data team(s) are perfectly structured to deliver efficient, harmonious, and meaningful results to the business with ‘nary a gap nor a redundancy? If you answered “yes,” then we’ll go ahead and report you to HR for being a LIAR! From high growth startups to staid enterprises, figuring out how to…
 
Have you ever thought, “you know, it would be interesting to take my analytical knowledge and just totally run an organization based on what the data says?” Yeah. Us, either. That’s terrifying! But, that’s exactly what our guest on this episode did. Ben Lindbergh, along with his stathead-in-crime (aka, co-author) Sam Miller, took over the managemen…
 
Data is everywhere and it’s simply not going away. Plenty of people do seem to ignore it to their peril, but if we are trying to make sense of the world, making good sense of data is absolutely critical. In business we call it data literacy, and, truthfully, it is a mandatory skill set for almost anyone. Data and understanding data might have a set…
 
We’re baaaaaaack…! Shorter show name, a rebrand, some minor formatting and structural updates, but still “Moe Kiss with a couple of guys who listeners can’t keep straight.” On this episode, we talk for a little bit about what we’ve been doing while we were on hiatus and then dive into a topic that only Cassie Kozyrkov has dared to deeply explore be…
 
We’re getting close to winding down our hiatus, during which we’ve been rebroadcasting some of our favorite episodes, but we couldn’t do that without revisiting our discussion with Nancy Duarte shortly after the publication of DataStory: Explain Data and Inspire Action Through Story. Nancy is one of the deepest thinkers in the world of effective co…
 
If your website has a 3% conversion rate, does that mean that 97% of the visits were a failure? On this episode of the show, which was initially broadcast way back in 2017, Dr. Liraz Margalit (at ClickTale when we recorded but now at topicx) pointed out that this would be a pretty short-sighted view of the data. By thinking about user behavior thro…
 
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